published journal article

Ozone Exposure, Outdoor Physical Activity, and Incident Type 2 Diabetes in the SALSA Cohort of Older Mexican Americans

Environmental Health Perspectives

Publication Date

September 1, 2021

Author(s)

Yue Yu, Michael Jerrett, Kimberly C. Paul, Jason Su, I-Fan Shih, Jun Wu, Eunice Lee, Kosuke Inoue, Mary Haan, Beate Ritz

Abstract

Background:Type 2 diabetes is a leading contributor to the global burden of morbidity and mortality. Ozone (O3) exposure has previously been linked to diabetes.Objective:We studied the impact of O3 exposure on incident diabetes risk in elderly Mexican Americans and investigated whether outdoor physical activity modifies the association.Methods:We selected 1,090 Mexican American participants from the Sacramento Area Latino Study on Aging conducted from 1998 to 2007. Ambient O3 exposure levels were modeled with a land-use regression built with saturation monitoring data collected at 49 sites across the Sacramento metropolitan area. Using Cox proportional hazard models, we estimated the risk of developing incident diabetes based on average O3 exposure modeled for 5-y prior to incident diabetes diagnosis or last follow-up. Further, we estimated outdoor leisure-time physical activity at baseline and investigated whether higher vs. lower levels modified the association between O3 exposure and diabetes.Results:In total, 186 incident diabetes cases were identified during 10-y follow-up. Higher levels of physical activity were negatively associated with incident diabetes [hazard ratio (HR)=0.64 (95% CI: 0.43, 0.95)]. The estimated HRs for incident diabetes was 1.13 (95% CI: 1.00, 1.28) per 10-ppb increment of 5-y average O3 exposure; also, this association was stronger among those physically active outdoors [HR=1.52 (95% CI: 1.21, 1.90)], and close to null for those reporting lower levels of outdoor activity [HR=1.04 (95% CI: 0.90, 1.20), 𝑝interaction=0.01].Conclusions:Our findings suggest that ambient O3 exposure contributes to the development of type 2 diabetes, particularly among those with higher levels of leisure-time outdoor physical activity. Policies and strategies are needed to reduce O3 exposure to guarantee that the health benefits of physical activity are not diminished by higher levels of O3 pollution in susceptible populations such as older Hispanics. https://doi.org/10.1289/EHP8620

Suggested Citation
Yu Yu, Michael Jerrett, Kimberly C. Paul, Jason Su, I-Fan Shih, Jun Wu, Eunice Lee, Kosuke Inoue, Mary Haan and Beate Ritz (2021) “Ozone Exposure, Outdoor Physical Activity, and Incident Type 2 Diabetes in the SALSA Cohort of Older Mexican Americans”, Environmental Health Perspectives, 129(9), p. 097004. Available at: 10.1289/EHP8620.

published journal article

A non-compensatory model of transportation behavior based on sequential consideration of attributes

Transportation Research Part B: Methodological

Publication Date

December 1, 1979
Suggested Citation
Wilfred W. Recker and Thomas F. Golob (1979) “A non-compensatory model of transportation behavior based on sequential consideration of attributes”, Transportation Research Part B: Methodological, 13(4), pp. 269–280. Available at: 10.1016/0191-2615(79)90019-5.

conference paper

SPIVC: Smart-phone-based inter-vehicle communication system

Proceedings of 91st annual meeting of the transportation research board, washington, DC

Publication Date

January 1, 2012
Suggested Citation
W.-L. Jin, Candy Kwan, Zhe Sun, Hao Yang and Qijian Gan (2012) “SPIVC: Smart-phone-based inter-vehicle communication system”, in Proceedings of 91st annual meeting of the transportation research board, washington, DC.

published journal article

A disaggregate model of auto-type choice

Transportation Research Part A: General

Publication Date

February 1, 1979

Author(s)

Charles Lave, Kenneth Train

Abstract

Previous models of auto-type choice have not been able to disentangle very much of the structure of the household’s auto-choice decision: the models assumed that very few auto characteristics affect choice, and often these few parameters were estimated with low precision. Hence the models had only limited use in forecasting the effects of government policies to influence transportation energy consumption. The present paper introduces a multinomial logit model for the type of car that households will choose to buy. The model includes a large variety of auto characteristics as explanatory variables, as well as a large number of characteristics of the household and the driving environment. The model fits the data quite well, and all of the variables enter with the correct signs and plausible magnitudes.

Suggested Citation
Charles A. Lave and Kenneth Train (1979) “A disaggregate model of auto-type choice”, Transportation Research Part A: General, 13(1), pp. 1–9. Available at: 10.1016/0191-2607(79)90081-5.

published journal article

The impact of residential density on vehicle usage and energy consumption

Journal of Urban Economics

Publication Date

January 1, 2009
Suggested Citation
David Brownstone and Thomas F. Golob (2009) “The impact of residential density on vehicle usage and energy consumption”, Journal of Urban Economics, 65(1), pp. 91–98. Available at: 10.1016/j.jue.2008.09.002.

published journal article

Anomaly Detection Against GPS Spoofing Attacks on Connected and Autonomous Vehicles Using Learning From Demonstration

IEEE Transactions on Intelligent Transportation Systems

Publication Date

September 1, 2023

Author(s)

Zhen Yang, Jun Ying, Junjie Shen, Yiheng Feng, Qi Alfred Chen, Z. Morley Mao, Henry Liu

Abstract

GPS spoofing attacks pose great challenges to connected vehicle (CVs) safety applications and localization of autonomous vehicles (AVs). In this paper, we propose to utilize transportation and vehicle engineering domain knowledge to detect GPS spoofing attacks towards CVs and AVs. A novel detection method using learning from demonstration is developed, which can be implemented in both vehicles and at the transportation infrastructure. A computational-efficient driving model, which can be learned from historical trajectories of the vehicles, is constructed to predict normal driving behaviors. Then a statistical method is developed to measure the dissimilarities between the observed trajectory and the predicted normal trajectory for anomaly detection. We validate the proposed method using two threat models (i.e., attacks targeting the multi-sensor fusion system of AVs and attacks targeting the intersection movement assist application of CVs) on two real-world datasets (i.e., KAIST and Michigan roundabout dataset). Results show that the proposed model is able to detect almost all of the attacks in time with low false positive and false negative rates.

Suggested Citation
Zhen Yang, Jun Ying, Junjie Shen, Yiheng Feng, Qi Alfred Chen, Z. Morley Mao and Henry X. Liu (2023) “Anomaly Detection Against GPS Spoofing Attacks on Connected and Autonomous Vehicles Using Learning From Demonstration”, IEEE Transactions on Intelligent Transportation Systems, 24(9), pp. 9462–9475. Available at: 10.1109/TITS.2023.3269029.

published journal article

The Value of “Value Pricing” of Roads: Second-Best Pricing and Product Differentiation

Journal of Urban Economics

Publication Date

March 1, 2001

Author(s)

Suggested Citation
Kenneth A. Small and Jia Yan (2001) “The Value of “Value Pricing” of Roads: Second-Best Pricing and Product Differentiation”, Journal of Urban Economics, 49(2), pp. 310–336. Available at: 10.1006/juec.2000.2195.

published journal article

A neural network-based methodology for pavement crack detection and classification

Transportation Research Part C: Emerging Technologies

Publication Date

December 1, 1993
Suggested Citation
Mohamed S. Kaseko and Stephen G. Ritchie (1993) “A neural network-based methodology for pavement crack detection and classification”, Transportation Research Part C: Emerging Technologies, 1(4), pp. 275–291. Available at: 10.1016/0968-090x(93)90002-w.

conference paper

Land use and vehicle miles of travel in the climate change debate: Getting smarter than your average bear

Proceedings of the land policy conference of the lincoln institute of land policy, cambridge, massachusetts

Publication Date

May 1, 2010
Suggested Citation
M.G. Boarnet, D. Houston, G. Ferguson and S. Spears (2010) “Land use and vehicle miles of travel in the climate change debate: Getting smarter than your average bear”, in Proceedings of the land policy conference of the lincoln institute of land policy, cambridge, massachusetts.

published journal article

JTRF volume 56 no. 3, fall 2017On-Demand, app-based ride services: A studyof emerging ground transportation ModesServing Los Angeles international airport (LAX)

J Transp Res Forum

Publication Date

September 1, 2017
Suggested Citation
Karina Hermawan and Amelia C. Regan (2017) “JTRF volume 56 no. 3, fall 2017On-Demand, app-based ride services: A studyof emerging ground transportation ModesServing Los Angeles international airport (LAX)”, J Transp Res Forum, 56(3). Available at: 10.5399/osu/jtrf.56.3.4462.